{"id":"https://openalex.org/W4404354805","doi":"https://doi.org/10.48550/arxiv.2411.03538","title":"Long Context RAG Performance of Large Language Models","display_name":"Long Context RAG Performance of Large Language Models","publication_year":2024,"publication_date":"2024-11-05","ids":{"openalex":"https://openalex.org/W4404354805","doi":"https://doi.org/10.48550/arxiv.2411.03538"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2411.03538","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.03538","pdf_url":"https://arxiv.org/pdf/2411.03538","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2411.03538","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114638251","display_name":"Quinn Leng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Leng, Quinn","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051310825","display_name":"Jacob Portes","orcid":"https://orcid.org/0000-0003-3102-012X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Portes, Jacob","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109658192","display_name":"Sam Havens","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Havens, Sam","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005554337","display_name":"Matei Zaharia","orcid":"https://orcid.org/0000-0002-7547-7204"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zaharia, Matei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5091194125","display_name":"Michael Carbin","orcid":"https://orcid.org/0000-0002-6928-0456"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carbin, Michael","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5114638251"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6190667748451233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5351501703262329},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.39094647765159607},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35043811798095703},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.2557339072227478},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.09587347507476807},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.06889614462852478}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6190667748451233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5351501703262329},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.39094647765159607},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35043811798095703},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.2557339072227478},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.09587347507476807},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.06889614462852478}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2411.03538","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.03538","pdf_url":"https://arxiv.org/pdf/2411.03538","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2411.03538","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2411.03538","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2411.03538","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.03538","pdf_url":"https://arxiv.org/pdf/2411.03538","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404354805.pdf","grobid_xml":"https://content.openalex.org/works/W4404354805.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Retrieval":[0],"Augmented":[1],"Generation":[2],"(RAG)":[3],"has":[4],"emerged":[5],"as":[6],"a":[7,36,60,133],"crucial":[8],"technique":[9],"for":[10,166],"enhancing":[11],"the":[12,24,64,87,111,136,141],"accuracy":[13,147],"of":[14,26,63,66,115,135,140],"Large":[15],"Language":[16],"Models":[17],"(LLMs)":[18],"by":[19],"incorporating":[20],"external":[21],"information.":[22],"With":[23],"advent":[25],"LLMs":[27,143],"that":[28,124],"support":[29],"increasingly":[30],"longer":[31],"context":[32,52,68,89,117,150,162],"lengths,":[33],"there":[34],"is":[35],"growing":[37],"interest":[38],"in":[39,45,118,160],"understanding":[40],"how":[41],"these":[42,49],"models":[43,53],"perform":[44],"RAG":[46,55,71,83,119],"scenarios.":[47],"Can":[48],"new":[50],"long":[51,116,149,161],"improve":[54,130],"performance?":[56],"This":[57],"paper":[58],"presents":[59],"comprehensive":[61],"study":[62],"impact":[65],"increased":[67],"length":[69,90],"on":[70,102,110],"performance":[72],"across":[73],"20":[74],"popular":[75],"open":[76],"source":[77],"and":[78,106,113],"commercial":[79],"LLMs.":[80],"We":[81,154],"ran":[82],"workflows":[84],"while":[85,125],"varying":[86],"total":[88],"from":[91],"2,000":[92],"to":[93],"128,000":[94],"tokens":[95,99],"(and":[96],"2":[97],"million":[98],"when":[100],"possible)":[101],"three":[103],"domain-specific":[104],"datasets,":[105],"report":[107],"key":[108],"insights":[109],"benefits":[112],"limitations":[114],"applications.":[120],"Our":[121],"findings":[122],"reveal":[123],"retrieving":[126],"more":[127],"documents":[128],"can":[129,144],"performance,":[131],"only":[132],"handful":[134],"most":[137],"recent":[138],"state":[139],"art":[142],"maintain":[145],"consistent":[146],"at":[148],"above":[151],"64k":[152],"tokens.":[153],"also":[155],"identify":[156],"distinct":[157],"failure":[158],"modes":[159],"scenarios,":[163],"suggesting":[164],"areas":[165],"future":[167],"research.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}